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Lightning Talk - Speeding up your CI/CD Approvals and Risk assessments with Machine Learning: An Overview

Lightningat cdCon 2020 · on Thursday, 2020-10-08· at 13:45· Track Two,· [ai-assisted-development, devops-and-delivery]
links:none on file
slides:none on file

Machine learning platform Autopilot aggregates logs, metrics and test results from siloed sources (DataDog, Elasticsearch) and CI/CD tools (Jenkins, Spinnaker, ArgoCD, Tekton) to produce stage-specific risk scores and enforce fine‑grained policies. Customers drop deployment verification from 3.6 hours to 5 minutes, cut release failures by 70%, and detect incidents earlier—triggering rollbacks 30 minutes sooner that can save about $1M per incident—while complex approval cycles shrink from days or weeks to hours.

AI-written summary · about

  1. 0:00Introduction
  2. 1:55Why is delivery so slow
  3. 4:40Why approvals are time consuming
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